Bibliographies thématiques / Stoplists

Littérature scientifique sur le sujet « Stoplists »

Auteur : Grafiati
Publié le 26 juillet 2024

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Articles de revues sur le sujet "Stoplists"

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Weinberg, Bella Hass. « The history of stoplists : lists of words not indexed ». Indexer 42, no 1 (mars 2024) : 53–63. http://dx.doi.org/10.3828/index.2023.56.

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The concept of the stoplist – a list of the words not indexed – is related to indexable matter, to the arrangement of subentries in indexes, and to search engine optimization. Stoplists were thought to have been developed in the 1950s in conjunction with automatic indexing, but a fifteenth-century Hebrew concordance to the Bible, Me’ir Nativ , contains a stoplist that is very similar to modern ones, consisting of function words such as prepositions. Since the Hebrew concordance was modeled on the Latin biblical concordance of Arlottus, which does not contain a stoplist, Me’ir Nativ must be regarded as the first example of this structure. Although stopwords were omitted from the earliest Latin concordances (without listing them), subsequent theological debate about the meanings of Latin function words led to the compilation of special concordances of such words. Current research by the author focuses on the importance of similar small words to the Masoretes, who were concerned about preserving an accurate text of the Hebrew Bible, and may possibly have had an index of such words.
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Donner, Amy. « Photoactive channels obey stoplights ». Nature Methods 6, no 2 (février 2009) : 120. http://dx.doi.org/10.1038/nmeth0209-120.

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Rintyarna, Bagus Setya, Wahyu Nurkholis Hadi Syahputra, Triawan Adi Cahyanto et Riska Nur Maulida. « Assessing Technique For Mapping Public Response To DKI Jakarta Governor Policy In Handling COVID-19 Pandemic Using SVM BASED Sentiment Analysis ». International Applied Science 1, no 1 (30 janvier 2022) : 57–66. http://dx.doi.org/10.32528/ias.v1i1.50.

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Since the coronavirus outbreak or known as COVID-19 spread throughout the world, especially in Indonesia. The Governor of DKI Jakarta issued several policies to deal with the spread of COVID-19. However, this policy has become a conversation on social media such as Youtube. Through audience interaction in the comments column, giving lots of positive and negative sentiment comments, the audience response is classified using the sentiment analysis technique of comments to find out which sentiments are positive, negative, and neutral for each comment. In this study, the data were taken from news video comments. The method used is the Support Vector Machine and the selection feature uses the Term Frequency-Inverse Document Frequency (TF-IDF). The data used amounted to 945 Indonesian language comments. Accurate results obtained by using the addition of a stoplist at the preprocessing stage a.
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Granrud, C. E., H. R. Haynes, A. L. Juhl, C. J. Miller et C. D. Sandbach. « Perceived size of stoplights : Further investigations into a failure of size constancy ». Journal of Vision 5, no 8 (17 mars 2010) : 520. http://dx.doi.org/10.1167/5.8.520.

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Wootton, K. I., J. L. Sharp et C. E. Granrud. « Perceived size of traffic stoplights : Effects of assumed size on observers' size estimates ». Journal of Vision 4, no 8 (1 août 2004) : 885. http://dx.doi.org/10.1167/4.8.885.

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Mhamed, Mustafa, Richard Sutcliffe, Xia Sun, Jun Feng, Eiad Almekhlafi et Ephrem Afele Retta. « Improving Arabic Sentiment Analysis Using CNN-Based Architectures and Text Preprocessing ». Computational Intelligence and Neuroscience 2021 (6 septembre 2021) : 1–12. http://dx.doi.org/10.1155/2021/5538791.

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Sentiment analysis is an essential process which is important to many natural language applications. In this paper, we apply two models for Arabic sentiment analysis to the ASTD and ATDFS datasets, in both 2-class and multiclass forms. Model MC1 is a 2-layer CNN with global average pooling, followed by a dense layer. MC2 is a 2-layer CNN with max pooling, followed by a BiGRU and a dense layer. On the difficult ASTD 4-class task, we achieve 73.17%, compared to 65.58% reported by Attia et al., 2018. For the easier 2-class task, we achieve 90.06% with MC1 compared to 85.58% reported by Kwaik et al., 2019. We carry out experiments on various data splits, to match those used by other researchers. We also pay close attention to Arabic preprocessing and include novel steps not reported in other works. In an ablation study, we investigate the effect of two steps in particular, the processing of emoticons and the use of a custom stoplist. On the 4-class task, these can make a difference of up to 4.27% and 5.48%, respectively. On the 2-class task, the maximum improvements are 2.95% and 3.87%.
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Wong, Robert, Jack White, Sumanjit Gill et Shahab Tayeb. « Virtual Traffic Light Implementation on a Roadside Unit over 802.11p Wireless Access in Vehicular Environments ». Sensors 22, no 20 (11 octobre 2022) : 7699. http://dx.doi.org/10.3390/s22207699.

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Blind intersections have high accident rates due to the poor visibility of oncoming traffic, high traffic speeds, and lack of infrastructure (e.g., stoplights). These intersections are more commonplace in rural areas, where traffic infrastructure is less developed. The Internet of Vehicles (IoV) aims to address such safety concerns through a network of connected and autonomous vehicles (CAVs) that intercommunicate. This paper proposes a Road-Side Unit-based Virtual Intersection Management (RSU-VIM) over 802.11p system consisting of a Field-Programmable Gate Array (FPGA) lightweight RSU that is solar power-based and tailored to rural areas. The RSU utilizes the proposed RSU-VIM algorithm adapted from existing virtual traffic light methodologies to communicate with vehicles over IEEE 802.11p and facilitate intersection traffic, minimizing visibility issues. The implementation of the proposed system has a simulated cloud delay of 0.0841 s and an overall system delay of 0.4067 s with 98.611% reliability.
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Zadobrischi, Eduard. « The Concept regarding Vehicular Communications Based on Visible Light Communication and the IoT ». Electronics 12, no 6 (12 mars 2023) : 1359. http://dx.doi.org/10.3390/electronics12061359.

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The most controversial technology—visible light communication—is becoming increasingly promising in the field of wireless networks, being ideal for many indoor and outdoor applications. This article proposes VLC methods and architectures capable of providing high security in vehicles and in their communications with the environment or other cars in traffic. The architectures proposed involve the inclusion of ambient lighting equipment and systems and indoor and outdoor lighting systems, such as headlights, traffic lights, and stoplights. Securing data within vehicular networks and validating them through multiple layers of filtering at the level of the physical PHY layer would drastically strengthen the position of VLC. They are the only source of information through which direct contact is maintained with the other entities in the network. The evaluations and proposals presented here are highly viable and deserve future consideration in light of the results obtained in the practical steps carried out in the research process.
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Sujjada, Alun, et Anggun Fergina. « IMPLEMENTASI METODE VECTOR SPACE MODEL UNTUK DETEKSI EMOSI MENGGUNAKAN DATA TEKS TWITTER ». Jurnal RESTIKOM : Riset Teknik Informatika dan Komputer 3, no 3 (30 juin 2022) : 116–29. http://dx.doi.org/10.52005/restikom.v3i3.89.

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Makin maraknya penggunaan jejaring sosial dalam hal ini adalah Twitter, maka menjadikan aplikasi tersebut sebagai big data atau kumpulan data yang sangat besar. Secara tidak langsung penggunaan Twitter akan memberikan dampak, baik itu dampak positif maupun negatif. Salah satu dampak negatif yang terjadi adalah penyalahgunaan dari pengguna, dimana yang awal mulanya digunakan untuk ajang saling berbagi aktivitas keseharian, sekarang berganti untuk promosi kegiatan prostitusi yang berakhir dengan sebuah kejahatan pembunuhan, sehingga muncul penelitian tentang Twitter Forensic untuk menyelidiki kasus seseorang berdasarkan data-data yang terdapat pada Twitter. Penelitian ini adalah sangat penting, karena dengan mengetahui emosi seseorang berdasarkan data posting yang ada di akun Twitter nya, sehingga dapat menambahkan data penunjang untuk kegiatan Twitter Forensic yang memang belum dilakukan sampai saat ini. Beberapa jenis emosi yang dipergunakan pada penelitian ini adalah senang, sedih, dan marah. Salah satu cara untuk mengetahui emosi adalah dengan memanfaatkan kumpulan data Twitter sebagai data latih dan data uji untuk mengklasifikasi emosi pengguna yang dilihat dari status atau tweet yang dipublikasikan menggunakan text mining. Sistem dibuat untuk mengklasifikasikan tweet berdasarkan jenis emosinya. Sebelum mempelajari tweet untuk membentuk model pembelajaran, tweet melalui tahap pemrosesan awal (preproccessing) yang terdiri dari case folding (pengubahan huruf besar menjadi kecil), tokenizing (pemisahan per-kata), dan filtering (karakter dan stoplist). Kemudian menghitung bobot tiap kata dengan metode TF-IDF(Term Frequency- Inverse Document Frequency), serta mengukur tingkat similaritas menggunakan metode VSM (Vector Space Model). Tiga kali pengujian dilakukan dengan total data latih 225 tweet, sebanyak 45 data latih pada pengujian tahap pertama, 75 data latih tahap kedua, dan 105 data latih untuk tahap ketiga. Hasilnya menunjukkan akurasi klasifikasi emosi tweet berkisar antara 65% – 75%.
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Ehrenberg, Rachel. « Technology : The tao of traffic : Go with the flow : If stoplights bend to cars, a study says, the way grows clearer ». Science News 178, no 9 (22 octobre 2010) : 8. http://dx.doi.org/10.1002/scin.5591780906.

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Thèses sur le sujet "Stoplists"

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Costa, Inês Alexandra Duarte. « Empresa : Stoplines Films ». Master's thesis, 2018. http://hdl.handle.net/10400.6/9874.

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O presente relatório de estágio tem como objetivo fundamental relatar e dar a conhecer todas as atividades, todo o trabalho e conhecimentos aprendidos durante o estágio curricular, no âmbito da avaliação final para obtenção de grau de Mestre em Cinema, pela Universidade da Beira Interior. O meu estágio curricular decorreu na produtora de Cinema e Televisão Stopline Films, sediada em Lisboa, mais precisamente no Marquês de Pombal, entre setembro de 2017 e março de 2018, tendo tido a duração de 6 meses. Ao longo do desenvolvimento, irei organizar o trabalho por capítulos. O primeiro capítulo irá começar com uma pequena introdução, onde falarei da escolha da fazer o estágio e a escolha da empresa, no segundo falarei dos objetivos, do plano e das expectativas com que entrei na empresa. No terceiro capítulo, farei uma apresentação da empresa, passando depois ao resumo dos objetivos do estágio e das ambições e expectativas que eu tinha, seguindo para um pequeno capítulo onde falo do trabalho de produção e do assistente de produção. Acabo o desenvolvimento com o resumo detalhado de todas as atividades e projetos em que estive envolvida na empresa. Para finalizar, pretendo deixar a minha reflexão crítica destes 6 meses, falar um pouco da minha primeira experiência dentro do meio do Cinema e da Televisão, tendo em conta tudo o que aprendi e observei, expondo as minhas dificuldades, e dando a minha opinião e um balanço final de toda a experiência.
The purpose of this internship report is to report and demonstrate all the activities, all the work and knowledge learned during the curricular internship in the scope of the final evaluation to obtain a Masters degree in Cinema, from the University of Beira Interior. My internship was held at the production company of Cinema and TV Stopline Films, based in Lisbon, more precisely in Marquês de Pombal, between September 2017 and March 2018, and lasted 6 months. Throughout this report, I will organize the work by chapters. The first chapter will begin with a short introduction, where I will talk about the choice of the internship and the choice of the company, in the second chapter I will talk about the objectives, the plan and the expectations with which I entered the company. In the third chapter I will give a presentation of the company, then to the summary of the objectives of the internship and the ambitions and expectations that I had, moving on to a short chapter where I talk about the production job and the production assistant. I finish the development with the detailed summary of all the activities and projects in which I was involved in the company. To conclude, I intend to leave my critical reflection of these 6 months, talk a little bit about my first experience within the world of Cinema and Television, taking into account everything I have learned and observed, exposing my difficulties, and giving my opinion and a final balance of the whole experience.
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Livres sur le sujet "Stoplists"

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Pinel, Stephen L. Old organs of Princeton : Being an historical chronology and description of all the known pipe organs installed in the town of Princeton, New Jersey, from 1760 to 1925, including photographs and stoplists when available, as well as accounts from newspapers, church records, histories, and diaries. Harrisville, N.H : Boston Organ Club Chapter of the Organ Historical Society, 1989.

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Developing a Corpus Specific Stoplist Using Quantitative Comparison. Storming Media, 1997.

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Sawicki, Donald S. How To Safety Rate Red Light Cameras : Rate Stoplights by Driver Braking. CreateSpace Independent Publishing Platform, 2011.

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Starcevich, Dr Lara E. Aphorisms for In-between Stoplights : Thoughts that flit through my brain when I'm alone driving/hiking/sitting/biking. Createspace Independent Publishing Platform, 2017.

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Chapitres de livres sur le sujet "Stoplists"

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Rasmussen, Edie. « Stoplists ». Dans Encyclopedia of Database Systems, 1–3. New York, NY : Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_955-2.

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Rasmussen, Edie. « Stoplists ». Dans Encyclopedia of Database Systems, 2794–96. Boston, MA : Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_955.

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Rasmussen, Edie. « Stoplists ». Dans Encyclopedia of Database Systems, 3721–22. New York, NY : Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_955.

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« Appendix C Stoplists of Organs Important to the Careers of Maurice and Marie-Madeleine Duruflé ». Dans Maurice Duruflé, 259–78. Boydell and Brewer, 2007. http://dx.doi.org/10.1515/9781580467452-033.

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« 18. Waiting for Stoplights ». Dans Digital Dice, 191–96. Princeton : Princeton University Press, 2013. http://dx.doi.org/10.1515/9781400846115.191.

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Gwynn, Dominic. « The English Organ in Purcell’s Lifetime ». Dans Performing the Music of Henry Purcell, 28–38. Oxford University PressOxford, 1996. http://dx.doi.org/10.1093/oso/9780198164425.003.0003.

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Abstract The period of Purcell’s lifetime saw a transformation and expansion of the English organ. With the stimulus of Dutch and French influences, the stoplist, layout, pitch, and compass changed. The study of the organ in seventeenth-century England is still in its infancy, but an outline has emerged from recent research which shows the inadequacy of the standard accounts. English organ-building history has a tendency to be picturesque, relying on anecdote and the pronouncements of famous men. At its best, it has unearthed a mass of documentary references, churchwardens’ accounts, the odd contract, letters and diaries, and so on. Researchers are now starting to add the available archaeological evidence, and are adding to, verifying, and reinterpreting the documentary source material. It should not be too many years before enough information has been accumulated to justify a statistical analysis. We will then be able to give a good picture of developments and variations.
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Daniels, Kate. « Porch-Sitting and Southern Poetry ». Dans The Future of Southern Letters, 60–71. Oxford University PressNew York, NY, 1996. http://dx.doi.org/10.1093/oso/9780195097818.003.0006.

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Abstract Back in the 1950s, before the advent of the present interstate highway system, U.S. 1 swept through Richmond, Virginia, like a dusty garden snake-slow, harmless, and yet, in spite of itself, tantalizing, a messenger from another, more exotic world. The Pike (as we called it, short for Petersburg Pike) meandered southward from Washington, D.C., through the elegant outskirts of Richmond, the nineteenth-century grandeur of downtown, and then across the graceful Lee Bridge, which forded the James River and was, during the period, the primary conduit between Southside Richmond, where my family lived, and the main part of the city. On our side of town, the Pike picked up the flurry of poor folks’ commerce at its intersection with Hull Street, where, as my mother always recalled with horror, black Richmonders had danced for nickels and dimes on the street corners on Saturday nights in 1947, when she had come to the city as a British war bride. Then it straightened out into its longest and most memorable portion-a four-lane section of road periodically interrupted by stoplights and populated by a curious mixture of private homes, boardinghouses, restaurants, roadhouses, trailer parks, factories, and all kinds of small, privately owned businesses, like Bleacher’s Store, where we charged penny candy on a running account.
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Actes de conférences sur le sujet "Stoplists"

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Tadrat, Jirapond, et Veera Boonjing. « An Experiment Study on Text Transformation for Compression Using Stoplists and Frequent Words ». Dans 2008 Fifth International Conference on Information Technology : New Generations (ITNG). IEEE, 2008. http://dx.doi.org/10.1109/itng.2008.178.

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